Adaptive Self-Efficacy-Based AI Coaching for Cycling
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Group 1: Self-efficacy-based AI coaching, Group 2: Static AI Affirmations.
- Who it may be relevant to
- Registry conditions: Exercise Training, Exercise Behavior, Exercise Adherence Challenges, Motivation for Physical Activity. Basic parameters: 18 years — 40 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Adaptive Self-Efficacy-Based AI Coaching for Enhanced Indoor Cycling Performance: A Personalized Machine Learning Approach
Overview
The primary objective of this study is to evaluate whether adaptive, AI-delivered personalized self-efficacy-based AI coaching based on real-time physiological and performance feedback enhance indoor cycling power output during a 20-minute time trial compared to static affirmations and exercise-only control conditions.
Interventions
- Behavioral Group 1: Self-efficacy-based AI coaching
The Thompson Sampling contextual bandit algorithm, trained on Session 1 data, monitors performance continuously and evaluates every 5 seconds whether to deliver an affirmation. The policy is trained to maximize a multi-objective "efficacy-preserving performance" function that rewards: * Maintaining target power relative to rolling 30s/2min/5min baselines * Stabilizing short-horizon power variability (30s coefficient of variation) * Stabilizing heart-rate (HR) trajectory consistent with efficien - Behavioral Group 2: Static AI Affirmations
Generic motivational messages delivered at fixed intervals (minutes 3, 6, 9, 12, 15, and 18) regardless of performance state. Messages follow the same complexity gradient based on elapsed time rather than individual response: * Minutes 3, 6: "You're building momentum with every pedal stroke-maintain this strong rhythm" * Minutes 9, 12: "Strong effort-push through this challenge" * Minutes 15, 18: "Final push-finish strong"
Primary outcome measures
- Mean cycling power output during 20-minute time trial [Time frame: Day 2]
Eligibility criteria
Inclusion criteria
- Age 18-40 years
- Recreationally active
- Familiar with stationary cycling
- Able to complete 20 minutes of vigorous cycling
Exclusion criteria
- Cardiovascular, metabolic, or respiratory conditions
- Medications affecting heart rate response
- Lower extremity injury within past 3 months
- Competitive cyclists (>10 hours cycling/week)
- Pregnancy
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Basic science
Study locations
United States · 1 center
- University of Miami — Coral Gables
Identifiers
NCT: NCT07318233 · 20251354